Applying generalized linear models (Book, 1997) [WorldCat.org]
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Applying generalized linear models

Author: James K Lindsey
Publisher: New York : Springer, ©1997.
Series: Springer texts in statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The  Read more...
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Details

Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: James K Lindsey
ISBN: 0387982183 9780387982182
OCLC Number: 36430655
Description: xiii, 256 pages : illustrations ; 24 cm.
Contents: Generalized linear modeling --
Discrete data --
Fitting and comparing probability distributions --
Growth curves --
Time series --
Survival date --
Event histories --
Spatial data --
Normal methods --
Dynamic models --
Appendices: inference; diagnostics.
Series Title: Springer texts in statistics.
Responsibility: James K. Lindsey.
More information:

Abstract:

This book describes how generalised linear modelling procedures can be used in many different fields, without becoming entangled in problems of statistical inference. With many exercises at the end  Read more...

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From a review:TECHNOMETRICS"...one of the best applied statistical books that I have ever read."

 
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